A Study of Smartphone Game Users through EEG Signal Feature Analysis
|
|
- Monica Bishop
- 6 years ago
- Views:
Transcription
1 , pp A Study of Smartphone Game Users through EEG Signal Feature Analysis Jung-Yoon Kim Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University kjyoon79@gmail.com Abstract Recently, studies on different applications using measured brain waves have been increasingly progressing. It started out with studying brain waves of a monkey to control an arm with a motor. Then it is applied for raising children s attention or understanding a patient situation. This paper deals with measuring the attention and meditation of EEG signal when a smartphone game user is playing. A survey will be conducted that measures the EEG signals for the smartphone game users while playing the game for analysis. The results will be depending on the memory and expressions of game users when solving hard problems during the game. Keywords: Game Play Test, Game User Feedback, EEG 1. Introduction The Brain Computer Interface (BCI) has been widely emerging for use in medical related fields. It is mainly used for prophylactic and therapeutic programs intended for patient s suffering dementia or attention deficit hyperactivity disorder patients [1]. The cost of BCI has been recently decreasing so the range of demand for usage has gradually increased. The BCI has been widely used for monitoring the state of patients in the medical related field [2]. Its usage was also in demand for training programs to control the brain waves. This is known as neuro feedback [3]. In addition, its use to measure brain waves and its application for control is now widely increasing [4]. In this paper, the EEG signal is applied, compared and analyzed the features on the attention and meditation of measured EEG signals while the smartphone game user is playing. Obtaining an objective data through the measurement of EEG signals while playing a game could be difficult so a survey is made that depends on the memory and expressions of game users. The measure EEG signals while playing the game will be compared and analyzed based on the quantitative attention and meditation results. The state of the attention while playing the game shows the boredom and tiresome state while the meditation was checked as a pleasant state while playing a game. The rest of this paper is organized as follows: Section 2 explains the EEG signal analysis and introduces the existing related studies for measuring EEG signals when playing a game; Section 3 outlines the EEG measurement composition for a game user while playing and discusses the results of the EEG measurement; and the concluding remarks in Section 4. ISSN: IJMUE Copyright c 2014 SERSC
2 2. Related Works This section presents a discussion of the existing studies for EEG cognizance and EEG signal analysis. The Electroencephalography (EEG) refers to the recording and measure of electrical activity of the brain for a short period of time that ranges from minutes by placing multiple electrodes on the scalp [10]. The spectral content of the EEG is generally the focus of diagnostic applications. It is commonly used for diagnosing epilepsy that causes abnormalities and EEG signal recordings [11]. Other applications include diagnosing sleep disorders, coma, encephalopathies, brain death, and monitoring the brain during brain surgery. In the past, the EEG test is used to be a first-line method of diagnosis for tumors, stroke and other focal brain disorders [12, 13], however, with the emergence of high-resolution anatomical imaging techniques such as MRI and CT, its use has been decreased. In addition, EEG continuous to be a valuable tool for research and diagnosis, especially when millisecond-range temporal resolution is required EEG Cognizance The EEG refers to the electronic flow when deliver the signals between nervous system and a cranial nerve. A very complex form of structure of signals appears when measuring an EEG as shown in Figure 1. This refers to a raw data and is unseparated brain waves by each frequency [5]. Since these raw data contains more static signal than extraction signal part, it needs filtering at preconditioning process. The preconditioning process uses power spectrum method at the most, conversion of raw data to power spectrum form as shown in Figure 2. Figure 1. Raw Data of EEG Figure 2. Change Raw Data to Poser Spectrum 410 Copyright c 2014 SERSC
3 2.2 EEG Signal analysis The power spectrum of brain waves is categorized by frequency bands with different amplitude for each frequency. The features of each frequency band are classified as shown in Table 1. The analysis of EEG signals involves the description of the two terms: (1) rhythmic activity; and (2) transients. The rhythmic activity is divided into bands of (i.e., any rhythmic activity between 8 12 Hz can be described as Alpha, between Hz can be described as Beta ). In addition, it is observed that mostly, EEG signals falls in the range of 1-20 Hz. Table 1. Types and Feature of Brain Wave Type Frequency (Hz) Normally Delta Hz hypnoidal Theta 4 7 Hz slow wave sleep Alpha 8 12 Hz stable wave Beta Hz action wave Gamma Over 30 Hz arousal and excitement Furthermore, some features of the EEG signals are transient rather than rhythmic. For example, a seizure activity in individuals with epilepsy is represented by the spikes and sharp waves in the brain waves. The vertex waves and sleep spindles are normal transient features that are seen in normal sleep [13]. Delta refers to the frequency that ranges from 0.5 to 4 Hz. It has waves of the highest in amplitude but is the slowest. It is seen normally in babies and adults in slow wave sleep. Theta refers to the frequency that ranges from 4 Hz to 7 Hz. Theta is seen normally in young children. Alpha refers to the frequency that ranges from 7 Hz to 14 Hz. Beta refers to the frequency that ranges from 15 Hz to about 30 Hz. It is seen usually on both sides in symmetrical distribution and is most evident frontally. Gamma refers to the frequency that ranges approximately Hz. Gamma rhythms are thought to represent binding of different populations of neurons together into a network for the purpose of carrying out a certain cognitive or motor function [14]. Copyright c 2014 SERSC 411
4 There are types of activities known as normal variants (e.g., mu rhythm) that can be statistically uncommon, however, are not associated with dysfunction or disease. The normal EEG varies by age, wherein adult EEG quite differs from neonatal EEGs. That is, EEG for a child has a generally slower frequency oscillations compared to that of an adult. 3. EEG Measurement of Game User when a Game Plays This section presents a discussion of EEG measurement process and explains the measurement target and hardware spec. The measurement results are also outlined in this section Measurement target and Hardware spec The EEG measurement tests for this paper were done for 6 persons, 3 males and 3 females. The three males include one in his twenties, and the other two on their thirties while the female participants include one on her twenties and the other two on their thirties. The EEG of the chosen participants will be tested with the chosen game POKO PANG as shown in Figure 3. This game is an application service from NHN Entertainment. It is a smartphone game with a casual puzzle game genre. The game rule is to connect the puzzle pieces to a line and explode to get a high score in 1 minute limited time. Figure 3. Smartphone Game Contents, POKOPANG The EEG measurement testing is done through Brain Wave Interface hardware developed by NeroSky from United States of America. The attention and meditation is distributable by this low price device. It utilizes a dry active sensor which is suitable for 412 Copyright c 2014 SERSC
5 unprofessional or professional usage. The mindset analyzes and checks the brain waves in real time by using a Neuro feedback system which contains a technology that helps to change according to the brain wave needs [9] EEG Measurement Process Figure 4. Mindset The following section describes the EEG measurement process for the 6 participants. During the game play the process for EEG measurement testing, the game user interacts with the game world as indicated in Figure 5. The EEG is measured in real time by the mindset device and transmits the measured data as the game progresses. Figure 5. EEG Measurement Process 3.3. EEG Signal Measurement Test and Result During Game Play The obtained EEG measurement data is transformed into a game play EEG as indicated in Figure 6. The EEG raw data is transformed using a Fast Fourier Transform (FFT) algorithm. The acquired brain waves contains numerical values for each frequencies is processed Copyright c 2014 SERSC 413
6 through the FFT algorithm and transformed into attention and meditation numerical values to obtain the game play EEG. Figure 6. Transformation Process 414 Copyright c 2014 SERSC
7 Copyright c 2014 SERSC 415
8 Figure 7. EEG Measurement Transformation Result Game Play The results for the game play EEG of the six participants are shown in Figure 7. The graphs are shown for each of the game users as indicated in Figure 7. The measurement result of meditation value for both male and female game users are checked with a high value after 40 seconds. It is observed that the meditation average value for female game users is higher compared to that of the male game users. However, the attention value for male game users is higher compared to that of the female game users. This simply shows that female game user s shows more interest during the game play. 4. Conclusions In this paper, the change of the state for EEG signals of s smartphone game user while playing was measured. The measured EEG data is compared and analyzed for male and female game users to be able to confirm the quantitative results of attention and meditation of the game users while playing a smartphone game. During the game play, the attention state indicates the boredom and tiresome of game users while the meditation state that the game players feel comfortable and enjoys through checking the EEG data. For the future studies, problems for the measuring method while on a game play will be further studied and a test of additional physiological signal will be added to solve the problem widely. References [1] Moshe Perl.: TOVA in clinical Practice. Neuro Theraphy, (2004). [2] Jae seung Jeong.: EEG dynamics in patients with Alzheimer's disease. In: Clinical Neurophysiology, 115, pp , (2004). [3] Anton Nijholt, Danny Plass-Oude Bos, Boris Reuderink.: Turning shortcomings into challenges: Brain computer interfaces for games. In: Entertainment Computing, 1, pp.85-94, (2009). [4] Rakendu Rao, Reza Derakhshani.: A Comparison of EEG Preprocessing Methods using Time Delay Neural Networks. In: Proceedings of the 2 International IEEE EMBS Conference on Neural Engineering Arlington, pp.16-19, (2005). [5] L. J. Trejo, R. Kochavi, K. Kubitz, L. D.Montgomery, R. Rosipal, and B. Matthews.: EEG-based estimation of mental fatigue. In: Proceedings of the 3rd international conference on Foundations of augmented cognition, pp , (2007). 416 Copyright c 2014 SERSC
9 [6] G. Pfurtscheller, C. Neuper, D. Flotzinger, and M. Pregenzer.: EEG based discrimination between imagination of right and left hand movement. In: Electroenceph. Clin. Neurophysiol., 103, pp , (1997). [7] Egner, T., Gruzelier, J.H.: EEG Biofeedback of lowbeta band components: frequency-specific. effects on variables of attention and event-related brain potentials. In: Clinical neurophysiology.115(11), pp (2004). [8] M.Teplan.: Fundamentals of EEG Measurement. In: Measurement Science Review, 2, pp (2002). [9] Yoshitsugu Yasui.: A Brainwave Signal Measurement and Data Processing Technique for Daily Life Applications. In: Journal of. PHYSIOLOGICAL. ANTHROPOLOGY, 28(3), pp (2009). [10] Niedermeyer E. and da Silva F.L. (2004). Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincot Williams & Wilkins, ISBN [11] Atlas of EEG & Seizure Semiology. B. Abou-Khalil; Musilus, K.E.; Elsevier, [12] [13] [14] Niedermeyer E. and da Silva F.L. (2004). Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincot Williams & Wilkins.ISBN Copyright c 2014 SERSC 417
10 418 Copyright c 2014 SERSC
EEG Signal feature analysis of Smartphone Game User
, pp.14-19 http://dx.doi.org/10.14257/astl.2013.39.03 EEG Signal feature analysis of Smartphone Game User Jung-Yoon Kim 1, Won-Hyung Lee 2* 1 Graduate School of Advanced Imaging Science, Multimedia & Film,
More informationRestoring Communication and Mobility
Restoring Communication and Mobility What are they? Artificial devices connected to the body that substitute, restore or supplement a sensory, cognitive, or motive function of the nervous system that has
More informationIntroduction to Neurofeedback. Penny Papanikolopoulos
Introduction to Neurofeedback Penny Papanikolopoulos Our World is.. The Marvelous World of the Brain Senses, Perception, Cognitions, Images, Emotions, Executive functions etc. Are all regulated by the
More informationNeurophysiology & EEG
Neurophysiology & EEG PG4 Core Curriculum Ian A. Cook, M.D. Associate Director, Laboratory of Brain, Behavior, & Pharmacology UCLA Department of Psychiatry & Biobehavioral Sciences Semel Institute for
More informationAsian Epilepsy Academy (ASEPA) & ASEAN Neurological Association (ASNA) EEG Certification Examination
Asian Epilepsy Academy (ASEPA) & ASEAN Neurological Association (ASNA) EEG Certification Examination EEG Certification Examination Aims To set and improve the standard of practice of Electroencephalography
More informationRewiring the Brain: Neurofeedback Insights from The Body Keeps the Score
Rewiring the Brain: Neurofeedback Insights from The Body Keeps the Score Lois A. Ehrmann PhD, LPC, NCC Certified EMDR Consultant; Certified IFS Clinician Certified Attachment Focused Family Therapist Certified
More informationAsian Epilepsy Academy (ASEPA) EEG Certification Examination
Asian Epilepsy Academy (ASEPA) EEG Certification Examination EEG Certification Examination Aims To set and improve the standard of practice of Electroencephalography (EEG) in the Asian Oceanian region
More informationA Brain Computer Interface System For Auto Piloting Wheelchair
A Brain Computer Interface System For Auto Piloting Wheelchair Reshmi G, N. Kumaravel & M. Sasikala Centre for Medical Electronics, Dept. of Electronics and Communication Engineering, College of Engineering,
More informationBrain Computer Interface. Mina Mikhail
Brain Computer Interface Mina Mikhail minamohebn@gmail.com Introduction Ways for controlling computers Keyboard Mouse Voice Gestures Ways for communicating with people Talking Writing Gestures Problem
More informationSpectral Analysis of EEG Patterns in Normal Adults
Spectral Analysis of EEG Patterns in Normal Adults Kyoung Gyu Choi, M.D., Ph.D. Department of Neurology, Ewha Medical Research Center, Ewha Womans University Medical College, Background: Recently, the
More informationElectroencephalography
The electroencephalogram (EEG) is a measure of brain waves. It is a readily available test that provides evidence of how the brain functions over time. The EEG is used in the evaluation of brain disorders.
More informationCOMPARING EEG SIGNALS AND EMOTIONS PROVOKED BY IMAGES WITH DIFFERENT AESTHETIC VARIABLES USING EMOTIVE INSIGHT AND NEUROSKY MINDWAVE
COMPARING EEG SIGNALS AND EMOTIONS PROVOKED BY IMAGES WITH DIFFERENT AESTHETIC VARIABLES USING EMOTIVE INSIGHT AND NEUROSKY MINDWAVE NEDVĚDOVÁ Marie (CZ), MAREK Jaroslav (CZ) Abstract. The paper is part
More informationPSD Analysis of Neural Spectrum During Transition from Awake Stage to Sleep Stage
PSD Analysis of Neural Spectrum During Transition from Stage to Stage Chintan Joshi #1 ; Dipesh Kamdar #2 #1 Student,; #2 Research Guide, #1,#2 Electronics and Communication Department, Vyavasayi Vidya
More informationEmotion Detection from EEG signals with Continuous Wavelet Analyzing
American Journal of Computing Research Repository, 2014, Vol. 2, No. 4, 66-70 Available online at http://pubs.sciepub.com/ajcrr/2/4/3 Science and Education Publishing DOI:10.12691/ajcrr-2-4-3 Emotion Detection
More informationModule Five: Review Questions
1. Which of the following statements IS NOT true? a) Meditation affects brain activity b) All types of meditation lead to same kind of brain activity affection c) The brain travels through different patterns
More informationDetection and Plotting Real Time Brain Waves
Detection and Plotting Real Time Brain Waves Prof. M. M. PAL ME (ESC(CS) Department Of Computer Engineering Suresh Deshmukh College Of Engineering, Wardha Abstract - The human brain, either is in the state
More informationISSN: (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies
ISSN: 2321-7782 (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online
More informationEEG-Based Brain Computer Interface System for Cursor Control Velocity Regression with Recurrent Neural Network
EEG-Based Brain Computer Interface System for Cursor Control Velocity Regression with Recurrent Neural Network Haoqi WANG the Hong Kong University of Science and Technology hwangby@connect.ust.hk Abstract
More informationIntroduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada
Introduction to EEG J.C. Martin, MD, FRCP University Health Network Toronto, Canada What is EEG? A graphic representation of the difference in voltage between two different cerebral locations plotted over
More informationAn Introduction to Neurotherapy
An Introduction to Neurotherapy In the late 1960's and 1970's we learned that it was possible to recondition and retrain brainwave patterns. Some of this work began with the training of alpha brainwave
More informationCHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL
116 CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL 6.1 INTRODUCTION Electrical impulses generated by nerve firings in the brain pass through the head and represent the electroencephalogram (EEG). Electrical
More informationCommon EEG pattern in critical care
Common EEG pattern in critical care พ.ญ.ส ธ ดา เย นจ นทร Causes Direct neuronal injury Cerebral dysfunction : encephalopathy Psychic problems EEG in critical care 1 October 2009, Pramongkutklao Hospital
More informationBiomedical Research 2013; 24 (3): ISSN X
Biomedical Research 2013; 24 (3): 359-364 ISSN 0970-938X http://www.biomedres.info Investigating relative strengths and positions of electrical activity in the left and right hemispheres of the human brain
More informationEEG in Medical Practice
EEG in Medical Practice Dr. Md. Mahmudur Rahman Siddiqui MBBS, FCPS, FACP, FCCP Associate Professor, Dept. of Medicine Anwer Khan Modern Medical College What is the EEG? The brain normally produces tiny
More informationNeuro Approach to Examine Behavioral Competence: An Application of Visible Mind-Wave Measurement on Work Performance
Journal of Asian Vocational Education and Training Vol. 8, pp. 20-24, 2015 ISSN 2005-0550 Neuro Approach to Examine Behavioral Competence: An Application of Visible Mind-Wave Measurement on Work Performance
More informationProcessed by HBI: Russia/Switzerland/USA
1 CONTENTS I Personal and clinical data II Conclusion. III Recommendations for therapy IV Report. 1. Procedures of EEG recording and analysis 2. Search for paroxysms 3. Eyes Open background EEG rhythms
More informationNovel single trial movement classification based on temporal dynamics of EEG
Novel single trial movement classification based on temporal dynamics of EEG Conference or Workshop Item Accepted Version Wairagkar, M., Daly, I., Hayashi, Y. and Nasuto, S. (2014) Novel single trial movement
More informationHuman Brain Institute Russia-Switzerland-USA
1 Human Brain Institute Russia-Switzerland-USA CONTENTS I Personal and clinical data II Conclusion. III Recommendations for therapy IV Report. 1. Procedures of EEG recording and analysis 2. Search for
More informationEEG in the ICU: Part I
EEG in the ICU: Part I Teneille E. Gofton July 2012 Objectives To outline the importance of EEG monitoring in the ICU To briefly review the neurophysiological basis of EEG To introduce formal EEG and subhairline
More informationThe Sonification of Human EEG and other Biomedical Data. Part 3
The Sonification of Human EEG and other Biomedical Data Part 3 The Human EEG A data source for the sonification of cerebral dynamics The Human EEG - Outline Electric brain signals Continuous recording
More informationSimultaneous Real-Time Detection of Motor Imagery and Error-Related Potentials for Improved BCI Accuracy
Simultaneous Real-Time Detection of Motor Imagery and Error-Related Potentials for Improved BCI Accuracy P. W. Ferrez 1,2 and J. del R. Millán 1,2 1 IDIAP Research Institute, Martigny, Switzerland 2 Ecole
More informationWIRELESS PATIENT HEALTH MONITORING SYSTEM
WIRELESS PATIENT HEALTH MONITORING SYSTEM PADMAVATHI KAVURU 1, B.CHINNA RAO 2 & P.M FRANCIS 3 1 (VLSI&ES) 2 Electronics & Communication Engg, Gokul Institute of Technology & Sciences (JNTUK): Bobbili,
More informationSleep stages. Awake Stage 1 Stage 2 Stage 3 Stage 4 Rapid eye movement sleep (REM) Slow wave sleep (NREM)
Sleep stages Awake Stage 1 Stage 2 Stage 3 Stage 4 Rapid eye movement sleep (REM) Slow wave sleep (NREM) EEG waves EEG Electrode Placement Classifying EEG brain waves Frequency: the number of oscillations/waves
More informationNeurotechnology for Special Needs Children
ISSN 4-956 (Print) ISSN -849 (Online) Sep Dec 5 Neurotechnology for Special Needs Children Norsiah Fauzan Faculty of Cognitive Science and Human Development, Universiti Malaysia Sarawak Abstract This paper
More informationElectroencephalography & Neurofeedback
Electroencephalography & Neurofeedback A Brief Introduction to the Science of Brainwaves Glyn Blackett YORK biofeedback CENTRE Introduction This article is a brief introduction to electroencephalography
More informationBeyond the Basics in EEG Interpretation: Throughout the Life Stages
Beyond the Basics in EEG Interpretation: Throughout the Life Stages Steve S. Chung, MD, FAAN Chairman, Neuroscience Institute Director, Epilepsy Program Banner University Medical Center University of Arizona
More informationEEG- A Brief Introduction
Fatemeh Hadaeghi EEG- A Brief Introduction Lecture Notes for BSP, Chapter 4 Master Program Data Engineering 1 4 Introduction Human brain, as the most complex living structure in the universe, has been
More informationEffects of Light Stimulus Frequency on Phase Characteristics of Brain Waves
SICE Annual Conference 27 Sept. 17-2, 27, Kagawa University, Japan Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves Seiji Nishifuji 1, Kentaro Fujisaki 1 and Shogo Tanaka 1 1
More informationWhat is EEG Neurofeedback?
What is EEG Neurofeedback? By Elaine Offstein, MA, Board Certified Educational Therapist All systems of our body and brain are designed to constantly work to maintain life-sustaining balance that scientists
More informationNortheast Center for Special Care Grant Avenue Lake Katrine, NY
300 Grant Avenue Lake Katrine, NY 12449 845-336-3500 Information Bulletin What is Brain Mapping? By Victor Zelek, Ph.D., Director of Neuropsychological Services Diplomate, National Registry of Neurofeedback
More informationstates of brain activity sleep, brain waves DR. S. GOLABI PH.D. IN MEDICAL PHYSIOLOGY
states of brain activity sleep, brain waves DR. S. GOLABI PH.D. IN MEDICAL PHYSIOLOGY introduction all of us are aware of the many different states of brain activity, including sleep, wakefulness, extreme
More informationSeparation Of,, & Activities In EEG To Measure The Depth Of Sleep And Mental Status
Separation Of,, & Activities In EEG To Measure The Depth Of Sleep And Mental Status Shah Aqueel Ahmed 1, Syed Abdul Sattar 2, D. Elizabath Rani 3 1. Royal Institute Of Technology And Science, R. R. Dist.,
More informationPerformance Analysis of Human Brain Waves for the Detection of Concentration Level
Performance Analysis of Human Brain Waves for the Detection of Concentration Level Kalai Priya. E #1, Janarthanan. S #2 1,2 Electronics and Instrumentation Department, Kongu Engineering College, Perundurai.
More informationGrand Challenges in. EEG based Brain-Computer Interface. Shangkai Gao. Dept. of Biomedical Engineering Tsinghua University, Beijing, China
Grand Challenges in EEG based Brain-Computer Interface Shangkai Gao Dept. of Biomedical Engineering Tsinghua University, Beijing, China 2012. 10. 4 Brain-Computer Interface, BCI BCI feedback Turning THOUGHTS
More informationWAVELET ENERGY DISTRIBUTIONS OF P300 EVENT-RELATED POTENTIALS FOR WORKING MEMORY PERFORMANCE IN CHILDREN
WAVELET ENERGY DISTRIBUTIONS OF P300 EVENT-RELATED POTENTIALS FOR WORKING MEMORY PERFORMANCE IN CHILDREN Siti Zubaidah Mohd Tumari and Rubita Sudirman Department of Electronic and Computer Engineering,
More informationEEG, ECG, EMG. Mitesh Shrestha
EEG, ECG, EMG Mitesh Shrestha What is Signal? A signal is defined as a fluctuating quantity or impulse whose variations represent information. The amplitude or frequency of voltage, current, electric field
More informationAnalysis of EEG Signal for the Detection of Brain Abnormalities
Analysis of EEG Signal for the Detection of Brain Abnormalities M.Kalaivani PG Scholar Department of Computer Science and Engineering PG National Engineering College Kovilpatti, Tamilnadu V.Kalaivani,
More informationSixth International Conference on Emerging trends in Engineering and Technology (ICETET'16) ISSN: , pp.
RESEARCH ARTICLE OPEN ACCESS EEG Based Wheelchair Navigation for Paralysis Patients Dr. R.Deepalakshmi 1, X. Anexshe Revedha 2 1 Professor Department of computer science and Engineering Velammal college
More informationClassification of EEG signals in an Object Recognition task
Classification of EEG signals in an Object Recognition task Iacob D. Rus, Paul Marc, Mihaela Dinsoreanu, Rodica Potolea Technical University of Cluj-Napoca Cluj-Napoca, Romania 1 rus_iacob23@yahoo.com,
More informationResearch & Development of Rehabilitation Technology in Singapore
Research & Development of Rehabilitation Technology in Singapore ANG Wei Tech Associate Professor School of Mechanical & Aerospace Engineering wtang@ntu.edu.sg Assistive Technology Technologists / Engineers
More informationThe enhancement of Neurofeedback with a low cost and easyto-use NeuroSky EEG biofeedback-training device: The MindReflector Protocols
The enhancement of Neurofeedback with a low cost and easyto-use NeuroSky EEG biofeedback-training device: The MindReflector Protocols Thomas E. Fink Ph.D. 2012 isnr Conference Tampa, FL September 21, 2012
More informationANALYSIS OF BRAIN SIGNAL FOR THE DETECTION OF EPILEPTIC SEIZURE
ANALYSIS OF BRAIN SIGNAL FOR THE DETECTION OF EPILEPTIC SEIZURE Sumit Kumar Srivastava 1, Sharique Ahmed 2, Mohd Maroof Siddiqui 3 1,2,3 Department of EEE, Integral University ABSTRACT The electroencephalogram
More informationElectroencephalogram (EEG) Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University
Electroencephalogram (EEG) Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University chanhl@mail.cgu.edu.tw Cerebral function examination Electroencephalography (EEG) Near infrared ray spectroscopy
More informationEmotion Detection Using Physiological Signals. M.A.Sc. Thesis Proposal Haiyan Xu Supervisor: Prof. K.N. Plataniotis
Emotion Detection Using Physiological Signals M.A.Sc. Thesis Proposal Haiyan Xu Supervisor: Prof. K.N. Plataniotis May 10 th, 2011 Outline Emotion Detection Overview EEG for Emotion Detection Previous
More informationEEG ANALYSIS: ANN APPROACH
EEG ANALYSIS: ANN APPROACH CHAPTER 5 EEG ANALYSIS: ANN APPROACH 5.1 INTRODUCTION The analysis of EEG signals using ANN deals with developing a network in order to establish a relation between input and
More informationIntroduction to Electrophysiology
Introduction to Electrophysiology Dr. Kwangyeol Baek Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School 2018-05-31s Contents Principles in Electrophysiology Techniques
More informationAn Alpha-Wave-Based Binaural Beat Sound Control System using Fuzzy Logic and Autoregressive Forecasting Model
SICE Annual Conference 2008 August 20-22, 2008, The University Electro-Communications, Japan An Alpha-Wave-Based Binaural Beat Sound Control System using Fuzzy Logic and Autoregressive Forecasting Model
More informationIntroduc2on/Mo2va2on
Introduc2on/Mo2va2on Today: many examples & applica2ons of signal & system analysis. Course will be much more mathema2cal than this intro! Remember the skill vs fame plot... Note about today s lecture:
More informationCSE 599E Introduction to Brain-Computer Interfacing
CSE 599E Introduction to Brain-Computer Interfacing Instructor: Rajesh Rao TA: Sam Sudar The Matrix (1999) Firefox(1982) Brainstorm (1983) Spiderman 2 (2004) Hollywood fantasy apart, why would we want
More informationExamining Brainwave Amplitudes in presence of External Audio Stimuli
Examining Brainwave Amplitudes in presence of External Audio Stimuli Joshua A. Kettlewell, 1 Blake Perez, 1 Giacomo Dalla Chiara, 1 and Thommen George Karimpanal 1 1 Singapore University of Technology
More informationNight-to-night variability of apnea indices
Night-to-night variability of apnea indices M.M.R. VERHELST, R.J. SCHIMSHEIMER, C. KLUFT, A.W. DE WEERD CENTRE FOR SLEEP AND WAKE DISORDERS, MCH, WESTEINDE HOSPITAL, THE HAGUE In our centre, the diagnosis
More informationDevelopment of Biofeedback System Adapting EEG and Evaluation of its Response Quality
Development of Biofeedback System Adapting EEG and Evaluation of its Response Quality Tsuruoka National College of Technology Shishido Laboratory Keiji WATARAI 1 Background B C I (Brain Computer Interface)
More informationSelection of Feature for Epilepsy Seizer Detection Using EEG
International Journal of Neurosurgery 2018; 2(1): 1-7 http://www.sciencepublishinggroup.com/j/ijn doi: 10.11648/j.ijn.20180201.11 Selection of Feature for Epilepsy Seizer Detection Using EEG Manisha Chandani
More informationPractical 3 Nervous System Physiology 2 nd year English Module. Dept. of Physiology, Carol Davila University of Medicine and Pharmacy
Electroencephalography l h (EEG) Practical 3 Nervous System Physiology 2 nd year English Module Dept. of Physiology, Carol Davila University of Medicine and Pharmacy What is EEG EEG noninvasively records
More informationThe EEG Analysis of Auditory Emotional Stimuli Perception in TBI Patients with Different SCG Score
Open Journal of Modern Neurosurgery, 2014, 4, 81-96 Published Online April 2014 in SciRes. http://www.scirp.org/journal/ojmn http://dx.doi.org/10.4236/ojmn.2014.42017 The EEG Analysis of Auditory Emotional
More informationCOGNITIVE NEUROSCIENCE BASED STRESS LEVEL MONITORING
Volume 119 No. 15 2018, 843-850 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ http://www.acadpubl.eu/hub/ COGNITIVE NEUROSCIENCE BASED STRESS LEVEL MONITORING G. Saiprasanna kumar
More informationMatrix Energetics Research Brainwaves and Heart waves Research on Matrix Energetics in Action
Matrix Energetics Research Brainwaves and Heart waves Research on Matrix Energetics in Action QEEG (quantitative electroencephalography) and HRV (heart rate variability analysis) tests revealed Dr. Richard
More informationAsian Epilepsy Academy (ASEPA) EEG Certification Examination
Asian Epilepsy Academy (ASEPA) EEG Certification Examination EEG Certification Examination Aims To set and improve the standard of practice of Electroencephalography (EEG) in the Asian Oceanian region
More informationEvent Related Potentials: Significant Lobe Areas and Wave Forms for Picture Visual Stimulus
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 6.017 IJCSMC,
More informationAv. do Campo Grande, 376, Lisboa, PORTUGAL Caparica, PORTUGAL. Av. do Brasil, 53, Lisboa, PORTUGAL
Changes in electroencephalographic spike activity of patients with focal epilepsy through modulation of the sensory motor rhythm in a brain-computer interface R J Lopes 1, P S Gamito 1, J A Oliveira 1,
More informationA Study about Development of Hypersonic Wave Sound based on the Sound of the Waves
, pp.114-118 http://dx.doi.org/10.14257/astl.2014.54.27 A Study about Development of Hypersonic Wave Sound based on the Sound of the Waves Han-Moi Shim 1, Ok-Hue Cho 1, Jang-Suck Woo 2,Choi Hyun 3 and
More informationEEG and some applications (seizures and sleep)
EEG and some applications (seizures and sleep) EEG: stands for electroencephalography and is a graphed representation of the electrical activity of the brain. EEG is the recording of electrical activity
More informationAn Overview of BMIs. Luca Rossini. Workshop on Brain Machine Interfaces for Space Applications
An Overview of BMIs Luca Rossini Workshop on Brain Machine Interfaces for Space Applications European Space Research and Technology Centre, European Space Agency Noordvijk, 30 th November 2009 Definition
More informationThe AASM Manual for the Scoring of Sleep and Associated Events
The AASM Manual for the Scoring of Sleep and Associated Events Summary of Updates in Version 2.1 July 1, 2014 The American Academy of Sleep Medicine (AASM) is committed to ensuring that The AASM Manual
More informationThe Neurofeedback Approach to Attention Deficit Hyperactivity Disorder
The Neurofeedback Approach to Attention Deficit Hyperactivity Disorder Steve Kapusta, Owner - BrainTraining of Hampton Roads, Inc. e - Originally from Pittsburgh, PA; resident of VA Beach for 4 years -
More informationPhysiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR
Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR In Physiology Today What the Brain Does The nervous system determines states of consciousness and produces complex behaviors Any given neuron may
More informationAmy Kruse, Ph.D. Strategic Analysis, Inc. LCDR Dylan Schmorrow USN Defense Advanced Research Projects Agency
What can modern neuroscience technologies offer the forward-looking applied military psychologist? Exploring the current and future use of EEG and NIR in personnel selection and training. Amy Kruse, Ph.D.
More informationMental State Recognition by using Brain Waves
Indian Journal of Science and Technology, Vol 9(33), DOI: 10.17485/ijst/2016/v9i33/99622, September 2016 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Mental State Recognition by using Brain Waves
More informationLocalization a quick look
Localization a quick look Covering the basics Differential amplifiers Polarity convention 10-20 electrode system Basic montages: bipolar and referential Other aspects of displaying the EEG Localization
More informationEEG Analysis on Brain.fm (Sleep)
EEG Analysis on Brain.fm (Sleep) Slow-Wave Sleep: What Is it? All of us can relate to feeling sleepy, foggy-headed and hungry after a night of poor sleep. The answer to why we feel this way can be found
More informationNeurofeedback Games to Improve Cognitive Abilities
2014 International Conference on Cyberworlds Neurofeedback Games to Improve Cognitive Abilities Yisi Liu Fraunhofer IDM@NTU Nanyang Technological University Singapore LIUYS@ntu.edu.sg Olga Sourina Fraunhofer
More informationNormal EEG of wakeful resting adults of years of age. Alpha rhythm. Alpha rhythm. Alpha rhythm. Normal EEG of the wakeful adult at rest
Normal EEG of wakeful resting adults of 20-60 years of age Suthida Yenjun, M.D. Normal EEG of the wakeful adult at rest Alpha rhythm Beta rhythm Mu rhythm Vertex sharp transients Intermittent posterior
More informationBasic Mechanism for Generation of Brain Rhythms
203 Continuing Medical Education Basic Mechanism for Generation of Brain Rhythms Wei-Hung Chen Abstract- Study of the basic mechanism of brain rhythms adds to our understanding of the underlying processes
More informationBIOPAC Systems, Inc BIOPAC Inspiring people and enabling discovery about life
BIOPAC Systems, Inc. 2016 BIOPAC Inspiring people and enabling discovery about life 1 BIOPAC s Guide to EEG for Research: Mobita Wireless EEG Housekeeping Attendees are on Mute Headset is Recommended!
More informationNeurofeedback for Developmental Trauma
Neurofeedback for Developmental Trauma What is it? How does it work? How does it help those with DTD? Presented by: Kimberley Bird, kimberleyannbird@gmail.com ACO, Oct. 22, 2016 1 Neurofeedback. What is
More informationInternational Journal of Scientific & Engineering Research Volume 8, Issue 7, July-2017 ISSN EEG-Based Brain-Controlled Wheelchair
216 EEG-Based Brain-Controlled Wheelchair Dr.N.Sathish Kumar 1 Sivaram.N2 Sudhirdeep.S3 Siranjeevi.M4 Professor ECE B.E IV year B.E IV year B.E IV year Sri Ramakrishna Engineering College sathishkumar.n.@srec.
More informationIJITKMI Volume 7 Number 2 Jan June 2014 pp (ISSN ) A pilot study on Cognitive Enhancement using Meditation as Intervention
A pilot study on Cognitive Enhancement using Meditation as Intervention Mandeep Singh [1], Mahak Narang [2] Department of Electrical & Instrumentation Engineering, Thapar University, Patiala, INDIA [1]
More informationQEEG markers in stroke, ageing and cognitive decline
QEEG markers in stroke, ageing and cognitive decline When is theta actually alpha? Simon Finnigan Senior Research Fellow UQ Centre for Clinical Research & Royal Brisbane Clinical Unit University of Queensland,
More informationANALYSIS OF EEG FOR MOTOR IMAGERY BASED CLASSIFICATION OF HAND ACTIVITIES
ANALYSIS OF EEG FOR MOTOR IMAGERY BASED CLASSIFICATION OF HAND ACTIVITIES A.Sivakami 1 and S.Shenbaga Devi 2 1 PG Student, Department of ECE College of Engineering Guindy, Anna University Chennai-600025,
More informationEEG History. Where and why is EEG used? 8/2/2010
EEG History Hans Berger 1873-1941 Edgar Douglas Adrian, an English physician, was one of the first scientists to record a single nerve fiber potential Although Adrian is credited with the discovery of
More informationNon epileptiform abnormality J U LY 2 7,
Non epileptiform abnormality S U D A J I R A S A K U L D E J, M D. C H U L A L O N G KO R N C O M P R E H E N S I V E E P I L E P S Y C E N T E R J U LY 2 7, 2 0 1 6 Outline Slow pattern Focal slowing
More informationScope. EEG patterns in Encephalopathy. Diffuse encephalopathy. EEG in adult patients with. EEG in diffuse encephalopathy
Scope EEG patterns in Encephalopathy Dr.Pasiri Sithinamsuwan Division of Neurology Department of Medicine Phramongkutklao Hospital Diffuse encephalopathy EEG in specific encephalopathies Encephalitides
More informationPhysiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR
Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR What the Brain Does The nervous system determines states of consciousness and produces complex behaviors Any given neuron may have as many as 200,000
More informationCURRENT TRENDS IN GRAZ BRAIN-COMPUTER INTERFACE (BCI) RESEARCH
CURRENT TRENDS IN GRAZ BRAINCOMPUTER INTERFACE (BCI) RESEARCH C. Neuper, C. Guger, E. Haselsteiner, B. Obermaier, M. Pregenzer, H. Ramoser, A. Schlogl, G. Pfurtscheller Department of Medical Informatics,
More informationDISCRETE WAVELET PACKET TRANSFORM FOR ELECTROENCEPHALOGRAM- BASED EMOTION RECOGNITION IN THE VALENCE-AROUSAL SPACE
DISCRETE WAVELET PACKET TRANSFORM FOR ELECTROENCEPHALOGRAM- BASED EMOTION RECOGNITION IN THE VALENCE-AROUSAL SPACE Farzana Kabir Ahmad*and Oyenuga Wasiu Olakunle Computational Intelligence Research Cluster,
More informationThis is a repository copy of Facial Expression Classification Using EEG and Gyroscope Signals.
This is a repository copy of Facial Expression Classification Using EEG and Gyroscope Signals. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/116449/ Version: Accepted Version
More informationThe Evolution of Neuroprosthetics
The Evolution of Neuroprosthetics National Academy of Engineering, Google, 2011 Eric C. Leuthardt MD Assistant Professor of Neurological Surgery & Biomedical Engineering Director, Center for Innovation
More informationHelping children on the Autism Spectrum. company
Helping children on the Autism Spectrum A company What is Mente Autism? Mente Autism is a clinical-quality EEG device that uses neurofeedback technology to help children with autism. Designed for home
More informationMental State Sensing and the Goal of Circuit-Synapse Synergy
Mental State Sensing and the Goal of Circuit-Synapse Synergy Patrick L. Craven, Ph.D. Senior Member, Engineering Staff Advanced Technology Laboratories Cherry Hill, NJ Goals of Artificial Intelligence
More informationElectroencephalograms and Neuro-Rehabilitation. Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University
Electroencephalograms and Neuro-Rehabilitation Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University chanhl@mail.cgu.edu.tw Brain Cerebrum ( 大腦 ) Receives and processes conscious sensation
More information